Intelligent shelf system based on a support vector machine-neural network location algorithm Online publication date: Tue, 06-Apr-2021
by Qi Lu; Hesheng Zhang
International Journal of Web Engineering and Technology (IJWET), Vol. 15, No. 4, 2020
Abstract: With the development of science and technology, intelligent products based on the internet of things are becoming increasingly popular in modern society. An intelligent shelf can obtain the location of goods in real-time through a location algorithm and software. The application of intelligent shelves in integrated circuit foundry enterprises can realise automatic inventory, which can improve the accuracy and real-time performance of data in and out of the warehouse. This paper proposes a location algorithm based on a support vector machine-neural network, which can be applied to smart shelves to obtain higher location accuracy. Finally, this paper designs and establishes an experimental verification platform and carries out related verification experiments and data analysis, which proves the feasibility and effectiveness of the support vector machine-neural network location algorithm and provides a basis for the further application of intelligent shelves.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Web Engineering and Technology (IJWET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook